Wang Jane X, Cohen Neal J, Voss Joel L
Department of Medical Social Sciences, Ken & Ruth Davee Department of Neurology, and Interdepartmental Neuroscience Program, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Department of Psychology, Neuroscience Program, and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Neurobiol Learn Mem. 2015 Jan;117:22-33. doi: 10.1016/j.nlm.2014.04.003. Epub 2014 Apr 19.
Effective choices generally require memory, yet little is known regarding the cognitive or neural mechanisms that allow memory to influence choices. We outline a new framework proposing that covert memory processing of hippocampus interacts with action-generation processing of prefrontal cortex in order to arrive at optimal, memory-guided choices. Covert, rapid action-memory simulation (CRAMS) is proposed here as a framework for understanding cognitive and/or behavioral choices, whereby prefrontal-hippocampal interactions quickly provide multiple simulations of potential outcomes used to evaluate the set of possible choices. We hypothesize that this CRAMS process is automatic, obligatory, and covert, meaning that many cycles of action-memory simulation occur in response to choice conflict without an individual's necessary intention and generally without awareness of the simulations, leading to adaptive behavior with little perceived effort. CRAMS is thus distinct from influential proposals that adaptive memory-based behavior in humans requires consciously experienced memory-based construction of possible future scenarios and deliberate decisions among possible future constructions. CRAMS provides an account of why hippocampus has been shown to make critical contributions to the short-term control of behavior, and it motivates several new experimental approaches and hypotheses that could be used to better understand the ubiquitous role of prefrontal-hippocampal interactions in situations that require adaptively using memory to guide choices. Importantly, this framework provides a perspective that allows for testing decision-making mechanisms in a manner that translates well across human and nonhuman animal model systems.
有效的选择通常需要记忆,但对于使记忆影响选择的认知或神经机制,我们却知之甚少。我们概述了一个新框架,该框架提出海马体的隐蔽记忆处理与前额叶皮质的动作生成处理相互作用,以做出最优的、由记忆引导的选择。在此,我们提出隐蔽快速动作记忆模拟(CRAMS)作为理解认知和/或行为选择的框架,据此前额叶 - 海马体相互作用快速提供多个潜在结果的模拟,用于评估一系列可能的选择。我们假设这个CRAMS过程是自动的、强制的和隐蔽的,这意味着在面对选择冲突时会发生许多轮动作记忆模拟,而无需个体的必要意图,并且通常个体也意识不到这些模拟,从而以几乎无需感知努力的方式产生适应性行为。因此,CRAMS不同于有影响力的观点,即人类基于记忆的适应性行为需要有意识地体验基于记忆构建的可能未来情景,并在可能的未来构建中进行深思熟虑的决策。CRAMS解释了为什么海马体已被证明对行为的短期控制有重要贡献,并且它激发了几种新的实验方法和假设,可用于更好地理解前额叶 - 海马体相互作用在需要适应性地利用记忆来指导选择的情况下所起的普遍作用。重要的是,这个框架提供了一个视角,使得能够以一种在人类和非人类动物模型系统中都能很好转换的方式来测试决策机制。